Identify customers at risk of leaving due to overages, pricing concerns, overall value perceptions, or additional fees.
Customer propensity scores to disconnect their service for a specific reason, including deciles and centiles
Understand the key predictors driving reason-specific customer churn
Performance assessment and ROI simulation
Identify the perfect audience for discount and bundled offers, step-down strategies and rewarding incentives
This describes how far ahead in the future this model can be trained to predict. Ideally, the historical data available for training would be 2-3 times longer than the prediction window.
Proactively engage and retain your customers by addressing their specific needs and motivations.
Maintain ongoing effective targeting for retention campaigns, driving engagement and lifting conversion and retention rates.
A typical modeling engagement with GlorifAI lasts 3-4 weeks once we get access to the data and proceeds in three distinct phases.
